Technical Product Manager , AI Solutions

Project overview

Technical Product Manager , AI Solutions

Responsibilities

Turn Business Ambition into Measurable Outcomes

Work directly with C-suite stakeholders and Private Equity operating teams to translate

strategic goals into measurable KPIs and success criteria, clarify what "correct" means

and who approves it, define what must be proven for acceptance, and keep engineering

work tied to executive objectives.

Lead Discovery and Requirements Definition

Own requirements discovery through executive sessions, workshops, and process, root-

cause, business-rule and data analysis, producing outcome statements, process maps,

user stories, rule catalogs, acceptance criteria and traceability. Critically, you'll know

when the team does not yet understand a requirement well enough to engineer it.

Own the Product and Delivery Backlog

Define MVP boundaries, prioritize the backlog, break outcomes into testable increments

and facilitate scope decisions, discussing business value with executives in the morning

and acceptance criteria with engineers in the afternoon.

Lead a Small, High-Performing Technical Team

Lead Forward Deployed, AI, data and platform engineers, architects, data scientists, QA

specialists and customer SMEs. You don't need to be the strongest engineer in the

room, but you need enough technical fluency to challenge assumptions, understand

dependencies and identify risk.

Bring a Data-First Mindset to AI Delivery

Investigate data readiness early (sources, quality, lineage, ownership and reconciliation)

and recognize when an apparent AI problem is really a business-rule, process or data-

quality problem that must be solved first.

Make Quality Part of the Engineering Process

Build quality in from discovery, not just before UAT, coordinating business-rule, data,

functional, integration, AI evaluation and user acceptance testing with traceability from

business outcome to acceptance. For AI, define how accuracy, grounding, consistency,

explainability and human oversight are assessed.

Lead Delivery with Pragmatism

Apply Scrum, Kanban or hybrid approaches pragmatically, owning planning, RAID,

scope and change control, executive reporting, governance and escalations, with a

focus on reducing uncertainty and demonstrating value quickly.

Job Facts: Contract W2 | Contract Independent | Contract Corp To Corp | 12 Months | 50% Travel Required | Able to Sponsor | Hybrid | $60 - $70/hr

Skills: Acceptance Testing, Agile, Amazon Web Services, Artificial Intelligence, Business Rules, Change Control, Clarity, Conflict Resolution, Data Analysis, Data Quality, Evaluation, FOCUS, Fluency, KPI, Kanban, MVP, Private Equity, Problem Solving, Project Management, RAID, ROOT, Reporting, Scrum, Status Reports, Team Leadership, User Stories

Reference: Dice Id: 91109480 | Position Id: 9132832

Project details

Remote with client travel up to 50% (Paid by client)

Practice: AI & Data Solutions

About the Role

We are looking for an experienced Technical Product Manager to lead small,

multidisciplinary teams delivering complex AI and data solutions using platforms such

as Uniphore, Palantir and AWS AI services.

This is not a traditional Project Manager, Scrum Master or Product Owner role.

Customers often bring us business outcomes ("I need to understand where we are

losing margin") rather than detailed requirements, and business rules, data quality and

success measures are often undefined. Your job is to create clarity from that ambiguity

and lead the team to a measurable outcome.

You will combine the skills of a Business Analyst, Product Owner and Agile Project

Lead, leading engagements from discovery through deployment and business

acceptance.

What This Role Isn't

This isn't the right role if you mainly want to facilitate Agile ceremonies, manage

somebody else's plan, hand requirements over to engineering, or focus on schedule

and status reporting. We want someone who owns the problem-solving and delivery

process end to end.

• Start: flexible
• Duration: 12 Months
• Remote: hybrid
• Location: Denver, CO, US, US